Public Affairs, Public Policy and Public Administration Commons^™

Umass Boston Bike Share Survey Instrument And Dataset, Philip Troped

Exercise and Health Sciences Faculty Publication Series

This site contains the survey instrument and survey data that were collected in the fall of 2014 from students, faculty, and staff at the University of Massachusetts Boston. These data were used for a manuscript to be published in PLOS ONE in 2022. The publication is entitled, “Correlates of bike share use and its association with weight status at an urban university” and the authors are Lawrence H. Stahley, Sarah M. Camhi, Julie A. Wright, and Philip J. Troped.

Contracting Tools For Transportation Data, Suzanne Bell, Olivia Dworkin

Journal of Law and Mobility

Troves of transportation data can be, and are, produced by smart infrastructure. Municipalities collect various kinds of transportation data, including traffic information such as accidents, flows, and volumes; bicycle information such as bike counts; pedestrian information such as pedestrian counts; smart bus stop information; street mapping information; location information for traffic signals; mapping details such as the miles of city streets; and information on roadwork and infrastructure planning such as construction or road closures expected to affect traffic.

Governments, educational institutions, non-profit enterprises, and businesses find transportation data useful for purposes such as improving infrastructure, reducing traffic congestion, improving vehicle …

Drivers’ Response To Scenarios When Driving Connected And Automated Vehicles Compared To Vehicles With And Without Driver Assist Technology, Srinivas S. Pulugurtha, Raghuveer Gouribhatla

Mineta Transportation Institute

Traffic related crashes cause more than 38,000 fatalities every year in the United States. They are the leading cause of death among drivers up to 54 years in age and incur $871 million in losses each year. Driver errors contribute to about 94% of these crashes. In response, automotive companies have been developing vehicles with advanced driver assistance systems (ADAS) that aid in various driving tasks. These features are aimed at enhancing safety by either warning drivers of a potential hazard or picking up certain driving maneuvers like maintaining the lane. These features are already part of vehicles with Driver …

Opportunities And Challenges For Deploying Connected And Automated Vehicles To Address Transportation Disparities In Urban Areas, Erika Shepard, Kimberly Napoline, Frank Douma, Adeel Lari

Journal of Law and Mobility

As the development and testing of connected and automated vehicles (CAV) accelerates, it is important for government stakeholders, planners, and policymakers to have a better understanding of the challenges and opportunities CAVs will bring to infrastructure, communities, and lifestyles. There is general consensus among scholars and transportation practitioners that CAV will “disrupt” transportation systems, land use patterns, and socioeconomic power structures as they exist today.The implications of CAV on transportation infrastructure have been the subject of numerous academic and professional studies, suggesting both positive and negative effects may occur. Furthermore, in an American context, transportation planning has historically contributed to …

Strategies For Reducing Occupational Stress On Cabin Crewmembers In The Airline Industry, Wendy N. Lindsey

Walden Dissertations and Doctoral Studies

Occupational stress threatens airline cabin crew and passengers’ health and safety. Airline leaders who lack strategies to address occupational stress may experience adverse impacts on cabin crew health, organizational efficiency, and overall aviation safety. Grounded in the job demands-resources theory, the purpose of this single case study was to explore strategies that upper-level airline leaders used to reduce occupational stress on cabin crewmembers. The participants were five upper-level airline leaders with more than 10 years of airline experience. Data were collected via semistructured interviews, organizational documents, and company records. Three themes emerged from Yin’s five-step approach: inflight training for generating …

Definition And Detection Of Hypervulnerabilities Using A Framework For Assessing Port Resilience, Katherine Smith, Rafael Diaz, Yuzhong Shen, Francesco Longo

VMASC Publications

Long term plans for maritime ports are identifying investments that will increase their capacity while decreasing their environmental footprint and operating costs. These changes are leading to increases in complexity at a time when leaner practices are driving investments to become more strategic. As such, this work proposes a generalized definition that allows a system or entity to be classified as exceedingly vulnerable by comparing it to other entities. This definition is developed from a set of definitions gathered from disparate fields. From this definition grounded in theory, the initial rules for complex system implementation are developed and demonstrated on …

Sustainable Strategies For Mass Rapid Transit Ppps, Sock Yong Phang, Bin Chye Tan

Research Collection School Of Economics

Mass rapid transit (MRT) PPPs have proliferated in the past two decades. This chapter provides a framework to categorise and understand alternative PPP designs. As MRT systems are inherently large, unprofitable and risky projects, PPP design is critical to project success and sustainability. We study the experiences of MRT PPPs in London, Hong Kong, Singapore and Beijing to understand factors underlying success and failure and to arrive at policy recommendations for PPPs. Policymakers need to have additional governance improvement and risk mitigation measures in place when tied supply chains are utilised. Hong Kong’s experience illustrates that ‘Rail plus Property’ strategy …

Service Contracting As A Policy Response For Public Transport Recovery During The Covid-19 Pandemic: A Preliminary Evaluation, Varsolo Sunio, Wilhansen Joseph Li, Joemier Pontawe, Albert Dizon, Joel Bienne Valderrama, Agnes Robang

Department of Information Systems & Computer Science Faculty Publications

We examine and assess the service contracting (SC) program implemented for the first time in Metro Manila, Philippines as a response to the impact of the pandemic on road-based public transport sector. We develop an evaluation framework, consisting of three indicators: social amelioration, increase in transport supply and performance improvement. These indicators are the purported objectives of SC. Using a mix of qualitative and quantitative methods, our evaluation suggests that although SC has brought positive impact in terms of the first two indicators, there is no robust evidence so far that may suggest that SC has improved the performance of …

The Two-Echelon Vehicle Routing Problem With Transshipment Nodes And Occasional Drivers: Formulation And Adaptive Large Neighborhood Search Heuristic, Vincent F. Yu, Minh P. K. Nguyen, Kuza Putra, Aldy Gunawan, I. Gusti Bagus Budi Dharma

Research Collection School Of Computing and Information Systems

This research introduces a new variant of the two-echelon vehicle routing problem (2EVRP) called the two-echelon vehicle routing problem with transshipment nodes and occasional drivers (2EVRP-TN-OD). In addition to city freighters in the second-echelon network, a set of occasional drivers (ODs) is available to serve customers. ODs are the basis of a crowd-shipping system in which crowds with planned trips are willing to take detours to deliver packages in exchange for some compensation. To serve customers, ODs collect the assigned packages at either satellite served by first-echelon trucks or transshipment nodes served by city freighters. We formulate this problem as …

A Comparison Of Deep Learning Algorithms On Image Data For Detecting Floodwater On Roadways, Sarp Salih, Kuzlu Murat, Zhao Yanxiao, Cetin Mecit

Engineering Technology Faculty Publications

Object detection and segmentation algorithms evolved significantly in the last decade. Simultaneous object detection and segmentation paved the way for real-time applications such as autonomous driving. Detection and segmentation of (partially) flooded roadways are essential inputs for vehicle routing and traffic management systems. This paper proposes an automatic floodwater detection and segmentation method utilizing the Mask Region-Based Convolutional Neural Networks (Mask-R-CNN) and Generative Adversarial Networks (GAN) algorithms. To train the model, manually labeled images with urban, suburban, and natural settings are used. The performances of the algorithms are assessed in accurately detecting the floodwater captured in images. The results show …

Parents' And Caregivers' Attitudes About Child Passenger Safety, Latoya Wider

Walden Dissertations and Doctoral Studies

Motor vehicle crashes are a leading cause of childhood injury and death in the United States. Many car seats are installed incorrectly, and many children under the age of 6 are seriously injured or killed in a motor vehicle crash. The purpose of this study was to examine the relationship between age of child, age of parent/caregiver, attitudes, and behaviors of child passenger safety among parents and caregivers in South Carolina. The influence of age and attitude on consistent car seat use was also examined. The study was based on the theory of planned behavior. A survey design featuring questions …

Perceived Social And Environmental Impacts Of The Maya Train Project On The Yucatan Peninsula Of Mexico: A Case Study Of Puerto Morelos, Emely Hernandez Yac

Graduate Research Theses & Dissertations

The Maya Train Project (MTP) is a new national megaproject in Mexico, meant to connect the perimeter of the Yucatan Peninsula, and facilitate easier transportation for tourism, industry, and agriculture. Given the region’s dependence on tourism, the train will accelerate the growth, as well as the social and environmental impacts of tourism in the region. Globally, the tourism industry has resulted in inequitable social and environmental impacts for the local communities and there is concern that this new Maya Train Project will serve to accelerate uneven development in the region. This project focused on the coastal tourist city of Puerto …

Jue Insight: Migration, Transportation Infrastructure, And The Spatial Transmission Of Covid-19 In China, Bingjing Li, Lin Ma

Research Collection School Of Economics

This paper evaluates the impacts of migration flows and transportation infrastructure on the spatial transmission of COVID-19 in China. Prefectures with larger bilateral migration flows and shorter travel distances with Hubei, the epicenter of the outbreak, experienced a wider spread of COVID-19. In addition, richer prefectures with higher incomes were better able to contain the virus at the early stages of community transmission. Using a spatial general equilibrium model, we show that around 28% of the infections outside Hubei province can be explained by the rapid development in transportation infrastructure and the liberalization of migration restrictions in the recent decade.

Revised Corporate History Of Northern Pacific Railway Company As Of June 30, 1917. Centennial Edition Including A Foreword With Later Corporate Changes, Rollin R. Davis , Ed.

Zea E-Books Collection

doi: 10.32873/unl.dc.zea.1330

From the Foreword: Railroads have been important in American history since the mid-nineteenth century for national unification, the settlement of the American West, the industrial revolution, economic growth, models of complex organization for other large corporations, and the transition of America from rural, agrarian society to urban, industrial society. The railroads’ transformative influence of technological change and social change has been termed “railroadization” (Schumpeter 1939, 1:325-351). Alfred D. Chandler Jr. (1965, 9-12) characterized the railroad industry as the first big business in America. The transcontinental railroads were especially significant. A transcontinental railroad may be defined as a railroad …

Successful Recruitment And Retention Strategies Used By Logistics Hiring Managers, Anna Ouattara

Walden Dissertations and Doctoral Studies

Employee turnover results in increased employers’ costs and a decrease in profitability. Transportation hiring managers who lack strategies to recruit and retain employees risk higher employee turnover, resulting in reduced profitability. Grounded in Herzberg’s two factory theory, the purpose of this qualitative multiple case study was to explore strategies transportation hiring managers use to recruit and retain employees to reduce employee turnover and improve profitability. The participants were three transportation hiring managers from three transportation companies in Eagan, Minnesota, who successfully implemented strategies resulting in employee retention. Data were collected using semi-structured interviews and a review of company documents. Data …

Strategies For Catalyzing Supply Chain Innovation In Midsized Manufacturing Firms, Matthew J. Szukalowski Iii

Walden Dissertations and Doctoral Studies

Supply chain inflexibility results in reduced efficiency and profitability. Without supply chain flexibility, supply chain managers in manufacturing firms risk the loss of competitive advantage due to reduced efficiency and profitability. Grounded in business process engineering conceptual framework, the purpose of this qualitative multiple case study was to explore strategies supply chain leaders in manufacturing organizations use to achieve supply chain flexibility. The participants were five supply chain leaders in the manufacturing industry in the midwestern United States and successfully implemented innovative solutions to achieve supply chain flexibility. Data were collected using semistructured interviews and a review of company documents …

Forward-Looking Strategies For Safely Adopting Digital Transformation In Aviation, Melissa King

Walden Dissertations and Doctoral Studies

Aviation leaders in the U.S. federal government face challenges in adopting technical evolution and advancing modernization while adhering to the rigor of a deeply entrenched safety culture. The purpose of this qualitative modified Delphi study was to determine how a panel of 21 aerospace experts based in Washington, DC viewed strategies for adopting to new technologies while ensuring safety. The management concepts that framed the study were safety culture and digital transformation. The study addressed the research question of how a panel of aviation experts viewed the desirability, feasibility, and importance of forward-looking strategies for adopting digital transformation while adhering …

Technology Innovation Strategies Supply Chain Managers Adopt To Improve Product Marketing And Profitability, George Richard Rapciewicz Jr.

Walden Dissertations and Doctoral Studies

Improperly planned capital investments in new technologies could result in lost productivity for e-procurement and supply chain managers in the e-commerce industries. Grounded in the technology acceptance model, the qualitative multiple case study design was used to explore strategies business managers use to adopt technology innovations to improve product marketing and profitability. Participants were five supply chain business managers and owners from five separate organizations in the southwestern region of the United States. Data were collected via responses submitted through Google Forms and emails, written logs, telephone calls, and recorded audio. Thematic analysis resulted in two key themes: perceived ease …

Engineering Countermeasures For Left Turns At Signalized Intersections: A Review, Siby Samuel, Amandeep Singh, Yusuke Yamani

Psychology Faculty Publications

Left turn crashes can impact the safety of the drivers due to the speed and angle at which they occur. Left turns are specifically reported to affect older drivers more than the other types of crashes. This paper provides a review of the existing engineering countermeasures that have been evaluated to improve driver safety at left turns. Twenty- eight studies on left turn signal displays (protected left turns, flashing yellow arrow, and digital countdown timers), intersection geometry (offset left turn lanes, diverging diamond interchange, roundabouts, exit lanes for left turn, left turn bay extension, and contraflow left turn lanes), and …

Exploring The Spatially Heterogeneous Effects Of The Built Environment On Bike-Sharing Usage During The Covid-19 Pandemic, Hongtai Yang, Zishuo Guo, Guocong Zhai, Linchuan Yang, Jinghai Huo

Civil & Environmental Engineering Faculty Publications

Bike-sharing holds promise for available and healthy mobility services during COVID-19 where bike sharing users can make trips with lower health concerns due to social distancing compared to the restricted transportation modes such as public transit and ridesharing services. Leveraging the trip data of the Divvy bike-sharing system in Chicago, this study explores spatially heterogeneous effects of built environment on bike-sharing usage under the pandemic. Results show that the average weekly ridership declined by 52.04%. To account for the spatially heterogeneous relationship between the built environment and the ridership, the geographically weighted regression (GWR) model and the semiparametric GWR (S-GWR) …

Schedule Reliability In Liner Shipping Timetable Design: A Convex Programming Approach, Abraham Zhang, Zhichao Zheng, Chung-Piaw Teo

Research Collection Lee Kong Chian School Of Business

Container liner shipping is the primary mode of moving manufactured products across continents. Partly due to inherent uncertainties at sea and ports, the liner shipping industry has long had a notorious reputation of schedule delays and unreliable on-time performance. This paper formulates a new approach to incorporate schedule reliability targets in liner shipping timetable design, to balance bunker consumption, time taken for the voyage, and schedule delays. We first model a surrogate problem using a copositive program through a moment decomposition approach and solve it as a convex semidefinite programming relaxation. We next incorporate schedule reliability targets implicitly by exploiting …

The Fresno State Transportation Challenge, Christian Wandeler, Steve Hart

Mineta Transportation Institute

The Fresno State Transportation Challenge uses an action civics approach to support K-12 students in developing transportation-related projects that have a positive impact on the community. In 2020 the goal was to expand, refine, and create structures to sustain the implementation of the Transportation Challenge across subsequent years. As a result of the COVID pandemic, the process and goals of the project were adapted. The project was extended into April 2021 and was entirely conducted through remote participation. The focus was on two high schools. The expansion into the high school age bracket was successful and the experience with these …

Can Californian Households Save Money On Transportation Costs By Living In Transit-Oriented Developments (Tods)?, Hongwei Dong

Mineta Transportation Institute

Many residents in large Californian metropolitan areas are heavily burdened by housing costs. Advocates, researchers, and elected officials in California are debating whether transit-oriented development (TOD) could be an effective tool to mitigate the housing affordability problem by increasing housing supply and reducing transportation costs in transit-rich neighborhoods. This study contributes to this debate by estimating how much Californian families can save on transportation costs by living in transit-oriented developments (TODs). By utilizing the confidential version of the 2010–2012 California Household Travel Survey, this study evaluates the impact of TOD on household transportation expenditures by comparing TOD households with two …

Taming The Data In The Internet Of Vehicles, Shahab Tayeb

Mineta Transportation Institute

As an emerging field, the Internet of Vehicles (IoV) has a myriad of security vulnerabilities that must be addressed to protect system integrity. To stay ahead of novel attacks, cybersecurity professionals are developing new software and systems using machine learning techniques. Neural network architectures improve such systems, including Intrusion Detection System (IDSs), by implementing anomaly detection, which differentiates benign data packets from malicious ones. For an IDS to best predict anomalies, the model is trained on data that is typically pre-processed through normalization and feature selection/reduction. These pre-processing techniques play an important role in training a neural network to optimize …

Crash Injury Severity Prediction With Artificial Neural Networks, Rima Abisaad

Dissertations

Motor vehicle crashes are one of our nation's most serious social, economic and health issues. They are the leading cause of death among children and young adults, killing approximately 1.35 million people each year. Providing a safe and efficient transportation system is the primary goal of transportation engineering and planning. To help reduce traffic fatalities and injuries on roadways, crash prediction models are used to forecast the injury severity of potential crashes and apply precautionary countermeasures accordingly. Most of these models are reactive as they use historical crash data to categorize crash-related factors. Recently, advancements have been made in developing …

Interstate 11: The Road To Prosperity In Nevada, Arthur C. Nelson

Policy Briefs and Reports

Interstate 11 (I-11) offers Nevada a unique opportunity to advance the economic development prospects of one of the state’s most economically challenged areas: Elko and eastern Nevada. Although the state used a qualitative system to choose a western route for I-11, this process may not have considered fully the costs of extending I-11 to Canada in a cost-effective manner or in a manner consistent with I-11 purposes, especially avoiding congested areas. This briefing report reviews the history and purposes of I-11; summarizes the I-11 route options; considers how I-11 might extend to Canada in a way that is consistent with …

Non-Linear And Weakly Monotonic Relationship Between School Quality And House Prices, Shishir Mathur

Faculty Research, Scholarly, and Creative Activity

This study provides evidence for a non-linear and weakly monotonic relationship between school quality and house prices. Using Fremont, California, as the study area, the regression analysis shows that homeowners are unwilling to pay a premium for an increase in school quality from low to medium quality. However, they are willing to pay a) a large premium when all schools are top-quality schools and b) a premium for access to nationally-renowned schools, which is in addition to the premium for top-quality schools. These findings have important land use policy significance because they provide new insights into the homeowner’s residential location …

A New Approach To Transportation Pricing: Lessons From The Poem Project, Shoshana Cohen, Emma Sagor

PSU Transportation Seminars

In October 2021, Portland City Council accepted the Pricing Options for Equitable Mobility (POEM) report. This was the culmination of 18 months of work by the POEM Task Force, a group of 19 volunteer community members who explored whether pricing tools—or charges related to driving or using road space—could be used to improve mobility, reduce climate impact, and make our transportation system more equitable. More information is available at Portland.gov/POEM.

At this seminar, POEM Project Managers Shoshana Cohen and Emma Sagor from the Portland Bureau of Transportation (PBOT) will share how this project took on the topic of …

Factors Influencing The Usage Of Shared E-Scooters : A Case Study Of Chicago, Farzana Mehzabin Tuli

Graduate Theses and Dissertations

The rapid popularity growth of shared e-scooters creates the necessity of understanding the determinants of shared e-scooter usage. This thesis estimates the impacts of temporal variables (weather data, weekday/weekend, and gasoline prices) and time-invariant variables (socio-demographic, built environment, and neighborhood characteristics) on the shared e-scooter demand by using four months (June 2019- October 2019) period of data from the shared e-scooter pilot program in Chicago. The study employs a random-effects negative binomial (RENB) model that effectively models shared e-scooter trip origin and destination count data with over-dispersion while capturing serial autocorrelation in the data. Results of temporal variables indicate that …

Level Of Service For Parking Facilities Based On Search Time, Fernie Briones

Open Access Theses & Dissertations

Level of Service (LOS) is a term used by transportation engineers to identify the quality of service of transportation facilities to the public. The Highway Capacity Manual has yet to provide guidance on LOS analysis for parking facilities. Parking search time has been proposed by several researchers as the indicator for the LOS criteria for parking facilities. This thesis investigated the use of search time for LOS analysis for on street and off-street parking facilities. The analysis of LOS for off-street parking focused on the measurement of parking search time. Three search time measurement methods have been proposed: the license …